M. Oellers
About
M. Oellers is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation.
According to data from OpenAlex, M. Oellers has authored 23 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiation. Recurrent topics in M. Oellers's work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Diagnosis and Treatment (9 papers). M. Oellers is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Diagnosis and Treatment (9 papers). M. Oellers collaborates with scholars based in Netherlands, Germany and France. M. Oellers's co-authors include Philippe Lambin, Dirk De Ruysscher, André Dekker, Anne‐Marie C. Dingemans, Rinus Wanders, Geert Bosmans, Hugo J.W.L. Aerts, Judith van Loon, Cordula Pitz and Wiel Geraedts and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Radiation Oncology*Biology*Physics and European Journal of Cancer.
In The Last Decade
M. Oellers
20 papers receiving 949 citations
Peers
M. Oellers
M Chan China
Stephen Mangar United Kingdom
Michael Kosmin United Kingdom
J. Contreras United States
Molly A. Sullivan United States
Marinus van Kroonenburgh Netherlands
Lisa S. Gobar United States
H.P. Bagshaw United States
Niclas Pettersson Sweden
Tafadzwa L. Chaunzwa United States
Citations per year, relative to M. Oellers M. Oellers (= 1×)
peers
M Chan
Countries citing papers authored by M. Oellers
Since
Specialization
Citations
This map shows the geographic impact of M. Oellers's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Oellers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Oellers more than expected).
Fields of papers citing papers by M. Oellers
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by M. Oellers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Oellers. The network helps show where M. Oellers may publish in the future.
Co-authorship network of co-authors of M. Oellers
This figure shows the co-authorship network connecting the top 25 collaborators of M. Oellers. A scholar is included among the top collaborators of M. Oellers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Oellers. M. Oellers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Batista, Vania, M. Oellers, M. Kügele, et al.. (2022). Surface guided radiation therapy: An international survey on current clinical practice. Technical Innovations & Patient Support in Radiation Oncology. 22. 1–8.
2.
Elmpt, Wouter van, Catharina M.L. Zegers, Bart Reymen, et al.. (2015). Multiparametric imaging of patient and tumour heterogeneity in non-small-cell lung cancer: quantification of tumour hypoxia, metabolism and perfusion. European Journal of Nuclear Medicine and Molecular Imaging. 43(2). 240–248.
3.
Voorde, Lien Van De, Ruben T. H. M. Larue, Jeroen Buijsen, et al.. (2014). A qualitative synthesis of the evidence behind elective lymph node irradiation in oesophageal cancer. Radiotherapy and Oncology. 113(2). 166–174.
4.
Carvalho, Sara, Ralph T. H. Leijenaar, Emmanuel Rios Velazquez, et al.. (2013). Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer. Acta Oncologica. 52(7). 1398–1404.
5.
Ruysscher, Dirk De, Angela van Baardwijk, Jessie Steevens, et al.. (2011). Individualised isotoxic accelerated radiotherapy and chemotherapy are associated with improved long-term survival of patients with stage III NSCLC: A prospective population-based study. Radiotherapy and Oncology. 102(2). 228–233.
6.
Hatt, Mathieu, Catherine Cheze Le Rest, Patrice Descourt, et al.. (2010). Accurate Automatic Delineation of Heterogeneous Functional Volumes in Positron Emission Tomography for Oncology Applications. International Journal of Radiation Oncology*Biology*Physics. 77(1). 301–308.
7.
Loon, Judith van, Dirk De Ruysscher, Rinus Wanders, et al.. (2009). Selective Nodal Irradiation on Basis of 18FDG-PET Scans in Limited-Disease Small-Cell Lung Cancer: A Prospective Study. International Journal of Radiation Oncology*Biology*Physics. 77(2). 329–336.
8.
Aerts, Hugo J.W.L., Steven Petit, Judith van Loon, et al.. (2009). Identification of residual metabolic-active areas within individual NSCLC tumours using a pre-radiotherapy 18Fluorodeoxyglucose-PET-CT scan. Radiotherapy and Oncology. 91(3). 386–392.
9.
Kierkels, R.G.J., Walter H. Backes, Marco H.M. Janssen, et al.. (2009). Comparison Between Perfusion Computed Tomography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Rectal Cancer. International Journal of Radiation Oncology*Biology*Physics. 77(2). 400–408.
10.
Loon, J. Van, Dirk De Ruysscher, Rinus Wanders, et al.. (2009). 146PD SELECTIVE NODAL IRRADIATION ON BASIS OF 18FDG-PET SCANS IN LIMITED DISEASE SMALL CELL LUNG CANCER: A PROSPECTIVE STUDY. Lung Cancer. 64. S61–S61.
11.
Hatt, Mathieu, Catherine Cheze‐Le Rest, André Dekker, et al.. (2009). Une nouvelle méthode de détermination automatique des volumes fonctionnels pour les applications de l’imagerie d’émission en oncologie. IRBM. 30(4). 144–149.
12.
Loon, Judith van, Geert Bosmans, Rinus Wanders, et al.. (2008). 18FDG-PET based radiation planning of mediastinal lymph nodes in limited disease small cell lung cancer changes radiotherapy fields: A planning study. Radiotherapy and Oncology. 87(1). 49–54.
13.
Aerts, Hugo J.W.L., Geert Bosmans, André Dekker, et al.. (2008). Stability of 18F-Deoxyglucose Uptake Locations Within Tumor During Radiotherapy for NSCLC: A Prospective Study. International Journal of Radiation Oncology*Biology*Physics. 71(5). 1402–1407.
14.
Vliegen, Roy F. A., Geerard L. Beets, Ann Driessen, et al.. (2008). Can an FDG-PET/CT Predict Tumor Clearance of the Mesorectal Fascia after Preoperative Chemoradiation of Locally Advanced Rectal Cancer?. Strahlentherapie und Onkologie. 184(9). 457–464.
15.
Loon, Judith van, Janneke P.C. Grutters, Rinus Wanders, et al.. (2008). Follow-up with 18FDG-PET–CT after radical radiotherapy with or without chemotherapy allows the detection of potentially curable progressive disease in non-small cell lung cancer patients: A prospective study. European Journal of Cancer. 45(4). 588–595.
16.
Hatt, Mathieu, André Dekker, Dirk De Ruysscher, et al.. (2008). Accurate functional volume definition in PET for radiotherapy treatment planning. 34. 5567–5571.
17.
Oellers, M., Wouter van Elmpt, B.J. Mijnheer, et al.. (2007). Transition from a simple to an advanced dose calculation algorithm for radiotherapy of non-small cell lung cancer(NSCLC): Implications for implementation in a clinical individualized dose-escalation protocol. Radiotherapy and Oncology. 84.
18.
Aerts, Hugo J.W.L., Guy Bosmans, Angela van Baardwijk, et al.. (2006). Time trends in the heterogeneity of FDG uptake, based on SUV contours, during a course of radical radiotherapy in NSCLC. Radiotherapy and Oncology. 81.
19.
Bosmans, Guy, André Dekker, M. Oellers, et al.. (2006). Clinical introduction of respiration correlated (4D) CT/PET scanning. Radiotherapy and Oncology. 81.
20.
Baardwijk, Angela van, J.D. de Jong, B. Kremer, et al.. (2004). Comparison of clinical target volume in PET-CT and CT-scan based treatment planning in patients with head and neck cancer. Radiotherapy and Oncology. 73.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
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